{"title":"心脏成像在慢性冠状动脉综合征中的作用:根据最新建议回顾文献。","authors":"David Sulman, Stéphane Manzo-Silberman","doi":"10.1093/ehjimp/qyaf112","DOIUrl":null,"url":null,"abstract":"<p><p>The 2019 ESC guidelines redefined stable coronary artery disease as chronic coronary syndrome (CCS), highlighting the dynamic nature of this disease. This condition is characterized by the gradual accumulation of atherosclerotic plaques in the epicardial coronary arteries. CCS can result in myocardial ischaemia due to supply-demand mismatch, often triggered by physical or emotional stress. The clinical course may be abruptly interrupted by plaque rupture or erosion, leading to acute coronary syndromes. Revolutionary advances in non-invasive imaging have transformed the chronic coronary syndrome diagnosis algorithm and management. Coronary computed tomography angiography provides detailed anatomical insights, identifying high-risk plaques with features like low attenuation and positive remodelling, as evidenced by SCOT-HEART, which reported reduced coronary events (HR: 0.59, <i>P</i> = 0.004). Stress echocardiography may detect ischaemia-induced wall motion abnormalities (sensitivity, 85-95%), while cardiovascular magnetic resonance is paramount in functional assessment, offering 81-86% sensitivity/specificity and detecting microvascular dysfunction via perfusion and late gadolinium enhancement. Nuclear imaging (SPECT/PET) enhances ischaemia detection, with PET's myocardial flow reserve improving prognostic accuracy (sensitivity 90%, specificity 88%). AI-driven innovations, such as CT-derived fractional flow reserve, automate plaque quantification and may reduce in the future unnecessary invasive angiographies by 19-25% (<i>P</i> = 0.01), while dynamic CT myocardial perfusion integrates anatomical and hemodynamic data, boosting diagnostic accuracy (87%). These advancements enable precise risk stratification and a personalized multimodal imaging approach, based on pre-test likelihood. It also increases the risk of unsustainable costs for society, repeated radiation exposure throughout a patient's life, and raises the question of actual limited benefits from revascularization in low-risk patients.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. 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The clinical course may be abruptly interrupted by plaque rupture or erosion, leading to acute coronary syndromes. Revolutionary advances in non-invasive imaging have transformed the chronic coronary syndrome diagnosis algorithm and management. Coronary computed tomography angiography provides detailed anatomical insights, identifying high-risk plaques with features like low attenuation and positive remodelling, as evidenced by SCOT-HEART, which reported reduced coronary events (HR: 0.59, <i>P</i> = 0.004). Stress echocardiography may detect ischaemia-induced wall motion abnormalities (sensitivity, 85-95%), while cardiovascular magnetic resonance is paramount in functional assessment, offering 81-86% sensitivity/specificity and detecting microvascular dysfunction via perfusion and late gadolinium enhancement. Nuclear imaging (SPECT/PET) enhances ischaemia detection, with PET's myocardial flow reserve improving prognostic accuracy (sensitivity 90%, specificity 88%). 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引用次数: 0
摘要
2019年ESC指南将稳定型冠状动脉疾病重新定义为慢性冠状动脉综合征(CCS),强调了这种疾病的动态性。这种疾病的特点是在心外膜冠状动脉中逐渐积累动脉粥样硬化斑块。由于供需不匹配,通常由身体或情绪压力引发,CCS可导致心肌缺血。临床过程可能因斑块破裂或糜烂而突然中断,导致急性冠状动脉综合征。非侵入性影像学的革命性进步已经改变了慢性冠状动脉综合征的诊断算法和管理。冠状动脉计算机断层血管造影提供了详细的解剖学信息,识别出具有低衰减和阳性重构等特征的高危斑块,如SCOT-HEART报告的冠状动脉事件减少(HR: 0.59, P = 0.004)。应激超声心动图可以检测缺血引起的壁运动异常(敏感性85-95%),而心血管磁共振在功能评估中至关重要,其敏感性/特异性为81-86%,并通过灌注和晚期钆增强检测微血管功能障碍。核成像(SPECT/PET)增强了缺血检测,PET的心肌血流储备提高了预后准确性(灵敏度90%,特异性88%)。人工智能驱动的创新,如CT衍生的血流储备分数,自动量化斑块,并可能在未来减少19-25%的不必要的侵入性血管造影(P = 0.01),而动态CT心肌灌注整合了解剖学和血流动力学数据,提高了诊断准确性(87%)。这些进步使精确的风险分层和个性化的多模式成像方法成为可能,基于测试前的可能性。它还增加了社会不可持续成本的风险,增加了患者一生中反复暴露于辐射的风险,并提出了低风险患者血运重建的实际效益有限的问题。
What role for cardiac imaging in chronic coronary syndromes: review of the literature in light of the latest recommendations.
The 2019 ESC guidelines redefined stable coronary artery disease as chronic coronary syndrome (CCS), highlighting the dynamic nature of this disease. This condition is characterized by the gradual accumulation of atherosclerotic plaques in the epicardial coronary arteries. CCS can result in myocardial ischaemia due to supply-demand mismatch, often triggered by physical or emotional stress. The clinical course may be abruptly interrupted by plaque rupture or erosion, leading to acute coronary syndromes. Revolutionary advances in non-invasive imaging have transformed the chronic coronary syndrome diagnosis algorithm and management. Coronary computed tomography angiography provides detailed anatomical insights, identifying high-risk plaques with features like low attenuation and positive remodelling, as evidenced by SCOT-HEART, which reported reduced coronary events (HR: 0.59, P = 0.004). Stress echocardiography may detect ischaemia-induced wall motion abnormalities (sensitivity, 85-95%), while cardiovascular magnetic resonance is paramount in functional assessment, offering 81-86% sensitivity/specificity and detecting microvascular dysfunction via perfusion and late gadolinium enhancement. Nuclear imaging (SPECT/PET) enhances ischaemia detection, with PET's myocardial flow reserve improving prognostic accuracy (sensitivity 90%, specificity 88%). AI-driven innovations, such as CT-derived fractional flow reserve, automate plaque quantification and may reduce in the future unnecessary invasive angiographies by 19-25% (P = 0.01), while dynamic CT myocardial perfusion integrates anatomical and hemodynamic data, boosting diagnostic accuracy (87%). These advancements enable precise risk stratification and a personalized multimodal imaging approach, based on pre-test likelihood. It also increases the risk of unsustainable costs for society, repeated radiation exposure throughout a patient's life, and raises the question of actual limited benefits from revascularization in low-risk patients.